A Quarter Century of Inclusive Education for Children with Intellectual Disabilities in Ontario: Public Perceptions.
Bibliographic record
Abstract
Understanding the views of the public is an important factor in developing and evaluating policy on inclusive education. This article presents the results of an opinion poll conducted by an alliance of researchers and community partners to measure public perceptions regarding inclusive education of students with an intellectual disability, the related impacts, and obstacles to expansion. Participants were 680 adults across a large region of Ontario. Respondents held divergent views about the best type of schooling for children with intellectual disabilities; 52% viewed some degree of inclusive education in regular schools as best while about 42% believed that education in special schools was best. When asked to first assume inclusion in regular schools was occurring, about one third of respondents believed that it would cause discipline problems, and make it harder for other students to learn. Schools‟ lack of special resources (79%) and teachers being unprepared to teach students with intellectual disabilities (69%) were seen as obstacles to inclusion. Analyses identified younger age and having known someone with an intellectual disability who was not a family member, as associated with inclusive views. Policy implications are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".